Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina)
- Autores
- Dondo Bühler, Mariana Beatriz; de Torres Curth, Mónica; Garibaldi, Lucas Alejandro
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Despite the enormous impact of fires on human welfare, few studies evaluated the influence of demographic and socioeconomic conditions on the occurrence of vegetation fires. We used quantile regression to estimate the dependence of fire density (no. ha−1) on demographic and socioeconomic conditions for neighborhoods with contrasting fire density levels (i.e., quartiles), using data of Bariloche, a city with a large wildland–urban interface zone, as a case study. We evidenced that socioeconomic and demographic variables can explain part of the fire density's variability not explained by biophysical variables, through a principal component analysis, and examined the goodness of fit of the model to the data through the Akaike's Information Criterion. Opposite to that observed in natural areas, fire density increased in the recent years in the interface areas. Population density was positively and significantly related to interface fire density, likely representing the effect of anthropic pressure on the environment. Fire density increased with socioeconomic vulnerability, particularly, high unemployment rate, high level of teenagers that neither study nor work, and low educational levels. Therefore, population welfare and education must be the most important target for public policies, even from a fire preventive viewpoint. The demographic and socioeconomic influence on wildland–urban interface fires should be explicitly considered by policymakers, and complement biophysical data to plan land use and regulate forest management, as well as to measure the additional effort needed for firefighting (e.g., investments in infrastructure and extra workers) to attend the greater population.
Fil: Dondo Bühler, Mariana Beatriz. Universidad Nacional de Rio Negro. Sede Andina; Argentina
Fil: de Torres Curth, Mónica. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; Argentina. Universidad Nacional de Rio Negro. Sede Andina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; Argentina
Fil: Garibaldi, Lucas Alejandro. Universidad Nacional de Rio Negro. Sede Andina. Departamento de Ciencias Exactas, Naturales y de Ingenieria; Argentina. Universidad Nacional de Rio Negro. Sede Andina; Argentina - Materia
-
Fire
Patagonia
Population Density
Quantile Regression
Socioeconomic Vulnerability
Wildland-Urban Interface - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/8916
Ver los metadatos del registro completo
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Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina)Dondo Bühler, Mariana Beatrizde Torres Curth, MónicaGaribaldi, Lucas AlejandroFirePatagoniaPopulation DensityQuantile RegressionSocioeconomic VulnerabilityWildland-Urban Interfacehttps://purl.org/becyt/ford/5.9https://purl.org/becyt/ford/5https://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1https://purl.org/becyt/ford/5.7https://purl.org/becyt/ford/5Despite the enormous impact of fires on human welfare, few studies evaluated the influence of demographic and socioeconomic conditions on the occurrence of vegetation fires. We used quantile regression to estimate the dependence of fire density (no. ha−1) on demographic and socioeconomic conditions for neighborhoods with contrasting fire density levels (i.e., quartiles), using data of Bariloche, a city with a large wildland–urban interface zone, as a case study. We evidenced that socioeconomic and demographic variables can explain part of the fire density's variability not explained by biophysical variables, through a principal component analysis, and examined the goodness of fit of the model to the data through the Akaike's Information Criterion. Opposite to that observed in natural areas, fire density increased in the recent years in the interface areas. Population density was positively and significantly related to interface fire density, likely representing the effect of anthropic pressure on the environment. Fire density increased with socioeconomic vulnerability, particularly, high unemployment rate, high level of teenagers that neither study nor work, and low educational levels. Therefore, population welfare and education must be the most important target for public policies, even from a fire preventive viewpoint. The demographic and socioeconomic influence on wildland–urban interface fires should be explicitly considered by policymakers, and complement biophysical data to plan land use and regulate forest management, as well as to measure the additional effort needed for firefighting (e.g., investments in infrastructure and extra workers) to attend the greater population.Fil: Dondo Bühler, Mariana Beatriz. Universidad Nacional de Rio Negro. Sede Andina; ArgentinaFil: de Torres Curth, Mónica. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; Argentina. Universidad Nacional de Rio Negro. Sede Andina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; ArgentinaFil: Garibaldi, Lucas Alejandro. Universidad Nacional de Rio Negro. Sede Andina. Departamento de Ciencias Exactas, Naturales y de Ingenieria; Argentina. Universidad Nacional de Rio Negro. Sede Andina; ArgentinaElsevier Science2013-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/8916Dondo Bühler, Mariana Beatriz; de Torres Curth, Mónica; Garibaldi, Lucas Alejandro; Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina); Elsevier Science; Landscape And Urban Planning; 110; 2-2013; 64-730169-2046enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0169204612002873info:eu-repo/semantics/altIdentifier/doi/10.1016/j.landurbplan.2012.10.006info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:21:10Zoai:ri.conicet.gov.ar:11336/8916instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:21:11.142CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina) |
title |
Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina) |
spellingShingle |
Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina) Dondo Bühler, Mariana Beatriz Fire Patagonia Population Density Quantile Regression Socioeconomic Vulnerability Wildland-Urban Interface |
title_short |
Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina) |
title_full |
Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina) |
title_fullStr |
Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina) |
title_full_unstemmed |
Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina) |
title_sort |
Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina) |
dc.creator.none.fl_str_mv |
Dondo Bühler, Mariana Beatriz de Torres Curth, Mónica Garibaldi, Lucas Alejandro |
author |
Dondo Bühler, Mariana Beatriz |
author_facet |
Dondo Bühler, Mariana Beatriz de Torres Curth, Mónica Garibaldi, Lucas Alejandro |
author_role |
author |
author2 |
de Torres Curth, Mónica Garibaldi, Lucas Alejandro |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Fire Patagonia Population Density Quantile Regression Socioeconomic Vulnerability Wildland-Urban Interface |
topic |
Fire Patagonia Population Density Quantile Regression Socioeconomic Vulnerability Wildland-Urban Interface |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/5.9 https://purl.org/becyt/ford/5 https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 https://purl.org/becyt/ford/5.7 https://purl.org/becyt/ford/5 |
dc.description.none.fl_txt_mv |
Despite the enormous impact of fires on human welfare, few studies evaluated the influence of demographic and socioeconomic conditions on the occurrence of vegetation fires. We used quantile regression to estimate the dependence of fire density (no. ha−1) on demographic and socioeconomic conditions for neighborhoods with contrasting fire density levels (i.e., quartiles), using data of Bariloche, a city with a large wildland–urban interface zone, as a case study. We evidenced that socioeconomic and demographic variables can explain part of the fire density's variability not explained by biophysical variables, through a principal component analysis, and examined the goodness of fit of the model to the data through the Akaike's Information Criterion. Opposite to that observed in natural areas, fire density increased in the recent years in the interface areas. Population density was positively and significantly related to interface fire density, likely representing the effect of anthropic pressure on the environment. Fire density increased with socioeconomic vulnerability, particularly, high unemployment rate, high level of teenagers that neither study nor work, and low educational levels. Therefore, population welfare and education must be the most important target for public policies, even from a fire preventive viewpoint. The demographic and socioeconomic influence on wildland–urban interface fires should be explicitly considered by policymakers, and complement biophysical data to plan land use and regulate forest management, as well as to measure the additional effort needed for firefighting (e.g., investments in infrastructure and extra workers) to attend the greater population. Fil: Dondo Bühler, Mariana Beatriz. Universidad Nacional de Rio Negro. Sede Andina; Argentina Fil: de Torres Curth, Mónica. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; Argentina. Universidad Nacional de Rio Negro. Sede Andina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; Argentina Fil: Garibaldi, Lucas Alejandro. Universidad Nacional de Rio Negro. Sede Andina. Departamento de Ciencias Exactas, Naturales y de Ingenieria; Argentina. Universidad Nacional de Rio Negro. Sede Andina; Argentina |
description |
Despite the enormous impact of fires on human welfare, few studies evaluated the influence of demographic and socioeconomic conditions on the occurrence of vegetation fires. We used quantile regression to estimate the dependence of fire density (no. ha−1) on demographic and socioeconomic conditions for neighborhoods with contrasting fire density levels (i.e., quartiles), using data of Bariloche, a city with a large wildland–urban interface zone, as a case study. We evidenced that socioeconomic and demographic variables can explain part of the fire density's variability not explained by biophysical variables, through a principal component analysis, and examined the goodness of fit of the model to the data through the Akaike's Information Criterion. Opposite to that observed in natural areas, fire density increased in the recent years in the interface areas. Population density was positively and significantly related to interface fire density, likely representing the effect of anthropic pressure on the environment. Fire density increased with socioeconomic vulnerability, particularly, high unemployment rate, high level of teenagers that neither study nor work, and low educational levels. Therefore, population welfare and education must be the most important target for public policies, even from a fire preventive viewpoint. The demographic and socioeconomic influence on wildland–urban interface fires should be explicitly considered by policymakers, and complement biophysical data to plan land use and regulate forest management, as well as to measure the additional effort needed for firefighting (e.g., investments in infrastructure and extra workers) to attend the greater population. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-02 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/8916 Dondo Bühler, Mariana Beatriz; de Torres Curth, Mónica; Garibaldi, Lucas Alejandro; Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina); Elsevier Science; Landscape And Urban Planning; 110; 2-2013; 64-73 0169-2046 |
url |
http://hdl.handle.net/11336/8916 |
identifier_str_mv |
Dondo Bühler, Mariana Beatriz; de Torres Curth, Mónica; Garibaldi, Lucas Alejandro; Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina); Elsevier Science; Landscape And Urban Planning; 110; 2-2013; 64-73 0169-2046 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0169204612002873 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.landurbplan.2012.10.006 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Science |
publisher.none.fl_str_mv |
Elsevier Science |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
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13.069144 |